Facilitation of prioritization of accessibility of media

ABSTRACT

Accessibility of media associated with mobile devices can be modified based on specific scenarios. For example, historical data associated with a relationship between users of a first mobile device and s second mobile device can be used to prioritize media displayed on one or more of the mobile devices. The historical data can include locations, dates, times, and/or any other relevant characteristics associated with the relationship. Alternatively, media can be displayed on the first mobile device, that is relevant to a user of a second mobile device, in response to a condition associated with a recognition pattern being determined to have been satisfied.

TECHNICAL FIELD

This disclosure relates generally to accessibility of media associatedwith mobile devices. For example, this disclosure relates tofacilitating accessibility of media found on user equipment for a 5G, orother next generation network, air interface.

BACKGROUND

5th generation (5G) wireless systems represent a next major phase ofmobile telecommunications standards beyond the currenttelecommunications standards of 4^(th) generation (4G). Rather thanfaster peak Internet connection speeds, 5G planning aims at highercapacity than current 4G, allowing a higher number of mobile broadbandusers per area unit, and allowing consumption of higher or unlimiteddata quantities. This would enable a large portion of the population tostream high-definition media many hours per day with their mobiledevices, when out of reach of wireless fidelity hotspots. 5G researchand development also aims at improved support of machine-to-machinecommunication, also known as the Internet of things, aiming at lowercost, lower battery consumption, and lower latency than 4G equipment.

The above-described background relating to accessibility of mediaassociated with mobile devices is merely intended to provide acontextual overview of some current issues, and is not intended to beexhaustive. Other contextual information may become further apparentupon review of the following detailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive embodiments of the subject disclosureare described with reference to the following figures, wherein likereference numerals refer to like parts throughout the various viewsunless otherwise specified.

FIG. 1 illustrates an example wireless communication system in which anetwork node device (e.g., network node) and user equipment (UE) canimplement various aspects and embodiments of the subject disclosure.

FIG. 2 illustrates an example schematic system block diagram of a mediaprioritization system according to one or more embodiments.

FIG. 3 illustrates an example schematic system block diagram of a mediaprioritization system according to one or more embodiments.

FIG. 4 illustrates an example schematic system block diagram of displayscreen of a UE.

FIG. 5 illustrates an example schematic system block diagram of displayscreen of a UE.

FIG. 6 illustrates an example flow diagram for a method for facilitatingaccessibility of media found on mobile devices for a network accordingto one or more embodiments.

FIG. 7 illustrates an example flow diagram for a system for facilitatingaccessibility of media found on mobile devices for a network accordingto one or more embodiments.

FIG. 8 illustrates an example flow diagram for a machine-readable mediumfor facilitating accessibility of media found on mobile devices for anetwork according to one or more embodiments.

FIG. 9 illustrates an example block diagram of an example mobile handsetoperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

FIG. 10 illustrates an example block diagram of an example computeroperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

DETAILED DESCRIPTION

In the following description, numerous specific details are set forth toprovide a thorough understanding of various embodiments. One skilled inthe relevant art will recognize, however, that the techniques describedherein can be practiced without one or more of the specific details, orwith other methods, components, materials, etc. In other instances,well-known structures, materials, or operations are not shown ordescribed in detail to avoid obscuring certain aspects.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics may be combined in any suitable manner in one or moreembodiments.

As utilized herein, terms “component,” “system,” “interface,” and thelike are intended to refer to a computer-related entity, hardware,software (e.g., in execution), and/or firmware. For example, a componentcan be a processor, a process running on a processor, an object, anexecutable, a program, a storage device, and/or a computer. By way ofillustration, an application running on a server and the server can be acomponent. One or more components can reside within a process, and acomponent can be localized on one computer and/or distributed betweentwo or more computers.

Further, these components can execute from various machine-readablemedia having various data structures stored thereon. The components cancommunicate via local and/or remote processes such as in accordance witha signal having one or more data packets (e.g., data from one componentinteracting with another component in a local system, distributedsystem, and/or across a network, e.g., the Internet, a local areanetwork, a wide area network, etc. with other systems via the signal).

As another example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry; the electric or electronic circuitry can beoperated by a software application or a firmware application executed byone or more processors; the one or more processors can be internal orexternal to the apparatus and can execute at least a part of thesoftware or firmware application. As yet another example, a componentcan be an apparatus that provides specific functionality throughelectronic components without mechanical parts; the electroniccomponents can include one or more processors therein to executesoftware and/or firmware that confer(s), at least in part, thefunctionality of the electronic components. In an aspect, a componentcan emulate an electronic component via a virtual machine, e.g., withina cloud computing system.

The words “exemplary” and/or “demonstrative” are used herein to meanserving as an example, instance, or illustration. For the avoidance ofdoubt, the subject matter disclosed herein is not limited by suchexamples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art. Furthermore, to the extent that theterms “includes,” “has,” “contains,” and other similar words are used ineither the detailed description or the claims, such terms are intendedto be inclusive—in a manner similar to the term “comprising” as an opentransition word—without precluding any additional or other elements.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationschemes and/or systems (e.g., support vector machines, neural networks,expert systems, Bayesian belief networks, fuzzy logic, and data fusionengines) can be employed in connection with performing automatic and/orinferred action in connection with the disclosed subject matter.

In addition, the disclosed subject matter can be implemented as amethod, apparatus, or article of manufacture using standard programmingand/or engineering techniques to produce software, firmware, hardware,or any combination thereof to control a computer to implement thedisclosed subject matter. The term “article of manufacture” as usedherein is intended to encompass a computer program accessible from anycomputer-readable device, machine-readable device, computer-readablecarrier, computer-readable media, or machine-readable media. Forexample, computer-readable media can include, but are not limited to, amagnetic storage device, e.g., hard disk; floppy disk; magneticstrip(s); an optical disk (e.g., compact disk (CD), a digital video disc(DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g.,card, stick, key drive); and/or a virtual device that emulates a storagedevice and/or any of the above computer-readable media.

As an overview, various embodiments are described herein to facilitateaccessibility of media associated with mobile devices for a 5G airinterface or other next generation network. For simplicity ofexplanation, the methods are depicted and described as a series of acts.It is to be understood and appreciated that the various embodiments arenot limited by the acts illustrated and/or by the order of acts. Forexample, acts can occur in various orders and/or concurrently, and withother acts not presented or described herein. Furthermore, not allillustrated acts may be desired to implement the methods. In addition,the methods could alternatively be represented as a series ofinterrelated states via a state diagram or events. Additionally, themethods described hereafter are capable of being stored on an article ofmanufacture (e.g., a machine-readable medium) to facilitate transportingand transferring such methodologies to computers. The term article ofmanufacture, as used herein, is intended to encompass a computer programaccessible from any computer-readable device, carrier, or media,including a non-transitory machine-readable medium.

It should be noted that although various aspects and embodiments havebeen described herein in the context of 5G, Universal MobileTelecommunications System (UMTS), and/or Long Term Evolution (LTE), orother next generation networks, the disclosed aspects are not limited to5G, a UMTS implementation, and/or an LTE implementation as thetechniques can also be applied in 3G, 4G or LTE systems. For example,aspects or features of the disclosed embodiments can be exploited insubstantially any wireless communication technology. Such wirelesscommunication technologies can include UMTS, Code Division MultipleAccess (CDMA), Wi-Fi, Worldwide Interoperability for Microwave Access(WiMAX), General Packet Radio Service (GPRS), Enhanced GPRS, ThirdGeneration Partnership Project (3GPP), LTE, Third Generation PartnershipProject 2 (3GPP2) Ultra Mobile Broadband (UMB), High Speed Packet Access(HSPA), Evolved High Speed Packet Access (HSPA+), High-Speed DownlinkPacket Access (HSDPA), High-Speed Uplink Packet Access (HSUPA), Zigbee,or another IEEE 802.12 technology. Additionally, substantially allaspects disclosed herein can be exploited in legacy telecommunicationtechnologies.

Described herein are systems, methods, articles of manufacture, andother embodiments or implementations that can facilitate accessibilityof media associated with mobile devices for a 5G network. Facilitatingaccessibility of media associated with mobile devices for a 5G networkcan be implemented in connection with any type of device with aconnection to the communications network (e.g., a mobile handset, acomputer, a handheld device, etc.) any Internet of things (TOT) device(e.g., toaster, coffee maker, blinds, music players, speakers, etc.),and/or any connected vehicles (cars, airplanes, space rockets, and/orother at least partially automated vehicles (e.g., drones)). In someembodiments the non-limiting term user equipment (UE) is used. It canrefer to any type of wireless device that communicates with a radionetwork node in a cellular or mobile communication system. Examples ofUE are target device, device to device (D2D) UE, machine type UE or UEcapable of machine to machine (M2M) communication, PDA, Tablet, mobileterminals, smart phone, laptop embedded equipped (LEE), laptop mountedequipment (LME), USB dongles etc. The embodiments are applicable tosingle carrier as well as to multicarrier (MC) or carrier aggregation(CA) operation of the UE. The term carrier aggregation (CA) is alsocalled (e.g. interchangeably called) “multi-carrier system”, “multi-celloperation”, “multi-carrier operation”, “multi-carrier” transmissionand/or reception.

In some embodiments the non-limiting term radio network node or simplynetwork node is used. It can refer to any type of network node thatserves UE is connected to other network nodes or network elements or anyradio node from where UE receives a signal. Examples of radio networknodes are Node B, base station (BS), multi-standard radio (MSR) nodesuch as MSR BS, eNode B, network controller, radio network controller(RNC), base station controller (BSC), relay, donor node controllingrelay, base transceiver station (BTS), access point (AP), transmissionpoints, transmission nodes, RRU, RRH, nodes in distributed antennasystem (DAS) etc.

Cloud radio access networks (RAN) can enable the implementation ofconcepts such as software-defined network (SDN) and network functionvirtualization (NFV) in 5G networks. This disclosure can facilitate ageneric channel state information framework design for a 5G network.Certain embodiments of this disclosure can include an SDN controllerthat can control routing of traffic within the network and between thenetwork and traffic destinations. The SDN controller can be merged withthe 5G network architecture to enable service deliveries via openapplication programming interfaces (“APIs”) and move the network coretowards an all internet protocol (“IP”), cloud based, and softwaredriven telecommunications network. The SDN controller can work with, ortake the place of policy and charging rules function (“PCRF”) networkelements so that policies such as quality of service and trafficmanagement and routing can be synchronized and managed end to end.

5G, also called new radio (NR) access, networks can support thefollowing: data rates of several tens of megabits per second supportedfor tens of thousands of users; 1 gigabit per second can be offeredsimultaneously to tens of workers on the same office floor; severalhundreds of thousands of simultaneous connections can be supported formassive sensor deployments; spectral efficiency can be enhanced comparedto 4G; improved coverage; enhanced signaling efficiency; and reducedlatency compared to LTE. In multicarrier systems such as OFDM, eachsubcarrier can occupy bandwidth (e.g., subcarrier spacing). If thecarriers use the same bandwidth spacing, then it can be considered asingle numerology. However, if the carriers occupy different bandwidthand/or spacing, then it can be considered a multiple numerology.

A user can have a mobile device that contains electronic files. Thefiles can also be accessible via a network, such as the internet, in acontent database. In one embodiment, the files can include photos, otherimages, and videos. Typically, these files can be viewed and sortedusing criteria such as time, date created, size, filename, and/or othercriteria. In the case of accessing photos and videos on a mobile device,for instance, these criteria can be used to determine which files arepresented first when scrolling through what can be a very large numberof files. Tags can also be used, for instance, to tag who is in a photoor where it was taken. This disclosure describes a solution for enablingpersonalized stacking of files, such as photos, based on who is nearby.Also described is a means for tracking what files have been shared andwith whom.

An exemplary embodiment used to describe the disclosure uses photos andvideos as an exemplary file type. A first user can encounter anotheruser who has opted-in to sharing data with the first user. Thisencounter can be detected when the two users are proximate. For example,if the mobile devices of the two users are nearby (e.g., within adefined distance), the encounter can be detected via a near-fieldnetwork connection (e.g., Bluetooth, Wi-fi, etc.). Either or both of theusers can be prompted via an on-screen display or via an audio alert(e.g., via a virtual assistant) that an encounter has been detected toallow them to approve the encounter to be monitored.

If the encounter is (optionally) approved, the encounter for the firstuser can be recorded in the encounter database. The record can includewho is present, date, time, duration, location, and what applicationsand/or files are/were accessed on the devices of the users during theencounter. The encounter can also be used as a tag added as metadata toindividual files (e.g., photos). Therefore, an encounter can be recordedin the first user's record. Also, the metadata can be added to thephoto.

In another embodiment, the first user's device can use a camera on thescreen side of the device to detect a face of the second user, when thefirst user shows media (e.g., photo, video, etc.) on the screen of thedevice to the second user. The facial detection can be made, forinstance, by comparing the face detected with other photos on the firstusers device that are tagged with the second user's name. Alternatively,the comparison can occur between a previously stored capture of thesecond user's face and a live capture as the second user is viewing themedia. Metadata can be used later to present a display to the first userof when the photo was shown to someone in the past. It should be notedthat this is different from sharing the photo (e.g., the phone beingsent from the first user to the second user), but it is determined, viafacial recognition, that the second user has seen the photo.

An encounter can also be an interaction between a first user and asecond user that is not in-person. For instance, the first user can showa photo to the second user on-screen during a screen sharing session(e.g., a multimedia call, or via a social media site). In any case, thephoto is shown to the second user, but a file is not sent to the seconduser. A service engine can perform the logic needed to deliver theservice described. It can also monitor or analyze the first user's othercommunications with the second user for the purpose of using artificialintelligence techniques to create data that describe the relationshipbetween first user and the second user. These communications can includein-person conversations, conversations over the phone, texts, emails,etc.

The system can also monitor calendar events that include the second userand detect locations where the first user is with the second user. Forinstance, the first user's virtual assistant can detect that the firstuser is talking with the second user about an upcoming vacation andabout a great seafood restaurant (e.g., “Shrimp Shack”) there. Theservice engine can search the content database in real-time during theconversation and find a photo of the location using image analysis todetect the name of the restaurant in the image or via location metadataassociated with the image. The virtual assistant can proactivelyannounce than an image was found and display the image via the mobiledevice of the first user and/or the second user.

Data related to communications and interactions between first user andthe second user can also be used by the service engine to predict whichphotos the first user might want to share with second user when they arehaving and encounter or are about to have an encounter. Using AItechniques, the service engine can develop a set of criteria thatdescribes the relationship between the users such as: common topics ofinterest, common locations of interest, common people of interest, etc.When a new encounter or upcoming encounter between the first user andthe second user is detected, the service engine can create a prioritizedstack of photos that the first user might want to show the second user.This permits the first user to easily access the photos that are mostlikely of interest to the second user without excessive scrolling. Thus,the service engine can predict what content the first user is morelikely to show to the second user based on the relationship between thefirst user and the second user.

Photos that the first user has already shown to the second user canreceive a lower priority value and therefore be lower in the stack. Ifthe first user has an encounter with more than one other user, anaggregate result can be used to predict which set of photos should beprioritized in the stack. Additionally, the aggregate result can takeinto account the various types of relationships between the users. Forinstance, the second user may be a family member and a third user may bea work associate. Since, the first user may not one morepersonal/familial photos being shown with the third user, the system candefault to showing only photos that are based on the lowest relationshiptype (e.g., only showing work related photos) even if the aggregaterelationship includes that of family. The first user could also bypassor override this security function through his/her mobile device. Increating a prioritized deck for showing at an upcoming plannedencounter, the service engine can further pre-position the prioritizedfiles at a server location that is closer to where the encounter willtake place. This can allow for quickest accessibility of the files andcan be particularly useful when the files in question can be large ornumerous.

It should also be noted that an artificial intelligence (AI) componentcan facilitate automating one or more features in accordance with thedisclosed aspects. A memory and a processor as well as other componentscan include functionality with regard to the figures. The disclosedaspects in connection with accessing media can employ various AI-basedschemes for carrying out various aspects thereof. For example, a processfor detecting one or more trigger events, modifying a media order as aresult of the one or more trigger events, and modifying one or morereported data sets, and so forth, can be facilitated with an exampleautomatic classifier system and process. In another example, a processfor penalizing one media file while preferring another media file can befacilitated with the example automatic classifier system and process.

An example classifier can be a function that maps an input attributevector, x=(x1, x2, x3, x4, xn), to a confidence that the input belongsto a class, that is, f(x)=confidence(class). Such classification canemploy a probabilistic and/or statistical-based analysis (e.g.,factoring into the analysis utilities and costs) to prognose or infer anaction that can be automatically performed. A support vector machine(SVM) is an example of a classifier that can be employed. The SVM canoperate by finding a hypersurface in the space of possible inputs, whichthe hypersurface attempts to split the triggering criteria from thenon-triggering events. Intuitively, this makes the classificationcorrect for testing data that is near, but not identical to trainingdata. Other directed and undirected model classification approachesinclude, for example, naïve Bayes, Bayesian networks, decision trees,neural networks, fuzzy logic models, and probabilistic classificationmodels providing different patterns of independence can be employed.Classification as used herein also may be inclusive of statisticalregression that is utilized to develop models of priority.

The disclosed aspects can employ classifiers that are explicitly trained(e.g., via a generic training data) as well as implicitly trained (e.g.,via observing mobile device usage as it relates to triggering events,observing network frequency/technology, receiving extrinsic information,and so on). For example, SVMs can be configured via a learning ortraining phase within a classifier constructor and feature selectionmodule. Thus, the classifier(s) can be used to automatically learn andperform a number of functions, including but not limited to modifying anorder of media, modifying one or more encounter measurements, and soforth. The criteria can include, but is not limited to, predefinedvalues, frequency attenuation tables or other parameters, serviceprovider preferences and/or policies, and so on.

In one embodiment, described herein is a method comprising determining,by network equipment comprising a processor, that a distance between afirst user equipment associated with a first user identity and a seconduser equipment associated with a second user identity is less than athreshold distance. In response to the determining, the method cancomprise sending, by the network equipment to the first user equipment,request data representative of a request to share media of the firstuser equipment with the second user equipment. Furthermore, in responseto the sending, the method can comprise receiving, by the networkequipment from the first user equipment, acceptance data representativeof an acceptance to share the media with the second user equipment.Additionally, in response to the receiving and based on a relationshipbetween the first user identity and the second user identity,determining, by the network equipment, a sorting order to order themedia to be displayed by the second user equipment, wherein the sortingcomprises modifying a display order of the media to be displayed by thesecond user equipment.

According to another embodiment, a system can facilitate, determiningthat a threshold distance between a first mobile device associated witha first user identity and a second mobile device associated with asecond user identity has been satisfied. In response to the determining,the system can comprise sending, to the first mobile device for anaccess via usage of first credentials associated with the first useridentity, request data representative of a request to share media of thefirst mobile device via usage of second credentials associated with thesecond user identity. In response to the sending, the system cancomprise receiving, from the first mobile device, acceptance datarepresentative of an acceptance to share the media via the usage of thesecond credentials associated with the second user identity.Furthermore, in response to the receiving, the system can comprisefacilitating sharing the media of the first mobile device, via the usageof the second credentials associated with the second user identity,wherein the sharing comprises modifying an order of the media.

According to yet another embodiment, described herein is amachine-readable medium that can perform the operations comprisingdetermining that a threshold distance associated with a mobile devicehas been satisfied. In response to the determining, the machine-readablemedium can perform the operations comprising sending request datarepresentative of a request to share media with the mobile device. Inresponse to the sending, the machine-readable medium can perform theoperations comprising receiving, from the mobile device, acceptance datarepresentative of an acceptance to share the media with the mobiledevice. Additionally, based on the user identity of the mobile device,the machine-readable medium can comprise modifying an order of the mediafor the access via the usage of the credentials.

These and other embodiments or implementations are described in moredetail below with reference to the drawings.

Referring now to FIG. 1, illustrated is an example wirelesscommunication system 100 in accordance with various aspects andembodiments of the subject disclosure. In one or more embodiments,system 100 can include one or more user equipment UEs 102. Thenon-limiting term user equipment can refer to any type of device thatcan communicate with a network node in a cellular or mobilecommunication system. A UE can have one or more antenna panels havingvertical and horizontal elements. Examples of a UE include a targetdevice, device to device (D2D) UE, machine type UE or UE capable ofmachine to machine (M2M) communications, personal digital assistant(PDA), tablet, mobile terminals, smart phone, laptop mounted equipment(LME), universal serial bus (USB) dongles enabled for mobilecommunications, a computer having mobile capabilities, a mobile devicesuch as cellular phone, a laptop having laptop embedded equipment (LEE,such as a mobile broadband adapter), a tablet computer having a mobilebroadband adapter, a wearable device, a virtual reality (VR) device, aheads-up display (HUD) device, a smart car, a machine-type communication(MTC) device, and the like. User equipment UE 102 can also include IOTdevices that communicate wirelessly.

In various embodiments, system 100 is or includes a wirelesscommunication network serviced by one or more wireless communicationnetwork providers. In example embodiments, a UE 102 can becommunicatively coupled to the wireless communication network via anetwork node 104. The network node (e.g., network node device) cancommunicate with user equipment (UE), thus providing connectivitybetween the UE and the wider cellular network. The UE 102 can sendtransmission type recommendation data to the network node 104. Thetransmission type recommendation data can include a recommendation totransmit data via a closed loop MIMO mode and/or a rank-1 precoder mode.

A network node can have a cabinet and other protected enclosures, anantenna mast, and multiple antennas for performing various transmissionoperations (e.g., MIMO operations). Network nodes can serve severalcells, also called sectors, depending on the configuration and type ofantenna. In example embodiments, the UE 102 can send and/or receivecommunication data via a wireless link to the network node 104. Thedashed arrow lines from the network node 104 to the UE 102 representdownlink (DL) communications and the solid arrow lines from the UE 102to the network nodes 104 represents an uplink (UL) communication.

System 100 can further include one or more communication serviceprovider networks 106 that facilitate providing wireless communicationservices to various UEs, including UE 102, via the network node 104and/or various additional network devices (not shown) included in theone or more communication service provider networks 106. The one or morecommunication service provider networks 106 can include various types ofdisparate networks, including but not limited to: cellular networks,femto networks, picocell networks, microcell networks, internet protocol(IP) networks Wi-Fi service networks, broadband service network,enterprise networks, cloud-based networks, and the like. For example, inat least one implementation, system 100 can be or include a large-scalewireless communication network that spans various geographic areas.According to this implementation, the one or more communication serviceprovider networks 106 can be or include the wireless communicationnetwork and/or various additional devices and components of the wirelesscommunication network (e.g., additional network devices and cell,additional UEs, network server devices, etc.). The network node 104 canbe connected to the one or more communication service provider networks106 via one or more backhaul links 108. For example, the one or morebackhaul links 108 can include wired link components, such as a T1/E1phone line, a digital subscriber line (DSL) (e.g., either synchronous orasynchronous), an asymmetric DSL (ADSL), an optical fiber backbone, acoaxial cable, and the like. The one or more backhaul links 108 can alsoinclude wireless link components, such as but not limited to,line-of-sight (LOS) or non-LOS links which can include terrestrialair-interfaces or deep space links (e.g., satellite communication linksfor navigation).

Wireless communication system 100 can employ various cellular systems,technologies, and modulation modes to facilitate wireless radiocommunications between devices (e.g., the UE 102 and the network node104). While example embodiments might be described for 5G new radio (NR)systems, the embodiments can be applicable to any radio accesstechnology (RAT) or multi-RAT system where the UE operates usingmultiple carriers e.g. LTE FDD/TDD, GSM/GERAN, CDMA2000 etc.

For example, system 100 can operate in accordance with global system formobile communications (GSM), universal mobile telecommunications service(UMTS), long term evolution (LTE), LTE frequency division duplexing (LTEFDD, LTE time division duplexing (TDD), high speed packet access (HSPA),code division multiple access (CDMA), wideband CDMA (WCMDA), CDMA2000,time division multiple access (TDMA), frequency division multiple access(FDMA), multi-carrier code division multiple access (MC-CDMA),single-carrier code division multiple access (SC-CDMA), single-carrierFDMA (SC-FDMA), orthogonal frequency division multiplexing (OFDM),discrete Fourier transform spread OFDM (DFT-spread OFDM) single carrierFDMA (SC-FDMA), Filter bank based multi-carrier (FBMC), zero tailDFT-spread-OFDM (ZT DFT-s-OFDM), generalized frequency divisionmultiplexing (GFDM), fixed mobile convergence (FMC), universal fixedmobile convergence (UFMC), unique word OFDM (UW-OFDM), unique wordDFT-spread OFDM (UW DFT-Spread-OFDM), cyclic prefix OFDM CP-OFDM,resource-block-filtered OFDM, Wi Fi, WLAN, WiMax, and the like. However,various features and functionalities of system 100 are particularlydescribed wherein the devices (e.g., the UEs 102 and the network device104) of system 100 are configured to communicate wireless signals usingone or more multi carrier modulation schemes, wherein data symbols canbe transmitted simultaneously over multiple frequency subcarriers (e.g.,OFDM, CP-OFDM, DFT-spread OFMD, UFMC, FMBC, etc.). The embodiments areapplicable to single carrier as well as to multicarrier (MC) or carrieraggregation (CA) operation of the UE. The term carrier aggregation (CA)is also called (e.g. interchangeably called) “multi-carrier system”,“multi-cell operation”, “multi-carrier operation”, “multi-carrier”transmission and/or reception. Note that some embodiments are alsoapplicable for Multi RAB (radio bearers) on some carriers (that is dataplus speech is simultaneously scheduled).

In various embodiments, system 100 can be configured to provide andemploy 5G wireless networking features and functionalities. 5G wirelesscommunication networks are expected to fulfill the demand ofexponentially increasing data traffic and to allow people and machinesto enjoy gigabit data rates with virtually zero latency. Compared to 4G,5G supports more diverse traffic scenarios. For example, in addition tothe various types of data communication between conventional UEs (e.g.,phones, smartphones, tablets, PCs, televisions, Internet enabledtelevisions, etc.) supported by 4G networks, 5G networks can be employedto support data communication between smart cars in association withdriverless car environments, as well as machine type communications(MTCs). Considering the drastic different communication demands of thesedifferent traffic scenarios, the ability to dynamically configurewaveform parameters based on traffic scenarios while retaining thebenefits of multi carrier modulation schemes (e.g., OFDM and relatedschemes) can provide a significant contribution to the highspeed/capacity and low latency demands of 5G networks. With waveformsthat split the bandwidth into several sub-bands, different types ofservices can be accommodated in different sub-bands with the mostsuitable waveform and numerology, leading to an improved spectrumutilization for 5G networks.

To meet the demand for data centric applications, features of proposed5G networks may include: increased peak bit rate (e.g., 20 Gbps), largerdata volume per unit area (e.g., high system spectral efficiency—forexample about 3.5 times that of spectral efficiency of long termevolution (LTE) systems), high capacity that allows more deviceconnectivity both concurrently and instantaneously, lower battery/powerconsumption (which reduces energy and consumption costs), betterconnectivity regardless of the geographic region in which a user islocated, a larger numbers of devices, lower infrastructural developmentcosts, and higher reliability of the communications. Thus, 5G networksmay allow for: data rates of several tens of megabits per second shouldbe supported for tens of thousands of users, 1 gigabit per second to beoffered simultaneously to tens of workers on the same office floor, forexample; several hundreds of thousands of simultaneous connections to besupported for massive sensor deployments; improved coverage, enhancedsignaling efficiency; reduced latency compared to LTE.

The 5G access network may utilize higher frequencies (e.g., >6 GHz) toaid in increasing capacity. Currently, much of the millimeter wave(mmWave) spectrum, the band of spectrum between 30 gigahertz (Ghz) and300 Ghz is underutilized. The millimeter waves have shorter wavelengthsthat range from 10 millimeters to 1 millimeter, and these mmWave signalsexperience severe path loss, penetration loss, and fading. However, theshorter wavelength at mmWave frequencies also allows more antennas to bepacked in the same physical dimension, which allows for large-scalespatial multiplexing and highly directional beamforming.

Performance can be improved if both the transmitter and the receiver areequipped with multiple antennas. Multi-antenna techniques cansignificantly increase the data rates and reliability of a wirelesscommunication system. The use of multiple input multiple output (MIMO)techniques, which was introduced in the third-generation partnershipproject (3GPP) and has been in use (including with LTE), is amulti-antenna technique that can improve the spectral efficiency oftransmissions, thereby significantly boosting the overall data carryingcapacity of wireless systems. The use of multiple-input multiple-output(MIMO) techniques can improve mmWave communications, and has been widelyrecognized a potentially important component for access networksoperating in higher frequencies. MIMO can be used for achievingdiversity gain, spatial multiplexing gain and beamforming gain. Forthese reasons, MIMO systems are an important part of the 3rd and 4thgeneration wireless systems, and are planned for use in 5G systems.

Referring now to FIG. 2, illustrated is an example schematic systemblock diagram of a media prioritization system 200 according to one ormore embodiments.

A user can possess a UE 102 that contains electronic files (e.g.,photos, other images, videos, etc.). The files can also be accessiblevia a cloud-based network 202 comprising a server 204 and a contentdatabase 206. Typically, these files can be viewed and sorted usingcriteria such as time created, date created, size, filename, and othercriteria. However, when accessing photos and videos on the UE 102, forinstance, these criteria can be used to determine which files arepresented first when scrolling through what may be a very large numberof files. Tags may also be used, for instance, to tag who is in a photoor where it was taken. The server 204 can facilitate filtering of thefiles based on the criteria set forth above. It should be noted that insome embodiments, the content database 206 can be hosted at the server204 instead of separate from the server 204 as depicted in FIG. 2. Thecontent database 206 can store all of the files associated with the UE102.

Referring now to FIG. 3, illustrated is an example schematic systemblock diagram of a media prioritization system 300 according to one ormore embodiments.

A first user of the UE 102 can encounter another user of the UE 106 whohas opted-in to sharing data with the first user or vice versa. Thisencounter can be detected and/or initiation when the two users areassumed to be proximate based on the UE 102 and UE the 106 being withina defined distance apart. The distance can be defined by the UE 102and/or the UE 106. For example, if the user of the UE 102 would like forthe media prioritization to take place when he/she is within ten feet ofthe UE 106, then this value can be set from the UE 102. Alternatively,if the UE 106 indicates that he/she would like for the mediaprioritization to take place when he/she is within five feet of the UE102, which contradicts the UE 102 parameter, then the system candetermine which distance parameter to apply based on which parameter ismore restrictive, less restrictive, or reconcile the parameters togenerate a middle ground parameter (e.g., average parameter). Forexample, if the mobile devices (e.g., UE 102, UE 106) of the two usersare nearby (e.g., within a defined distance), the encounter can bedetected via a near-field network connection (e.g., Bluetooth, Wi-Fi,etc.), GPS, and/or distance from a base station device of thecloud-based network 202. Either or both of the users can be prompted viaan on-screen display of their respective UEs or via an audio alert(e.g., via a virtual assistant) that an encounter has been detected toallow them to approve the encounter to be monitored. If the encounter isapproved, the encounter for the first user can be recorded in theencounter database. For example, once the encounter has been approved,the server 204 can facilitate storing encounter identification data(e.g., time, location, duration, user identities, date, weather,applications used, and/or files accessed, etc.). The record can includewho is present, date, time, duration, location, and what applicationsand/or files are/were accessed on the devices of the users during theencounter. The encounter can also be used as a tag added as metadata toindividual files (e.g., photos). Therefore, an encounter can be recordedin the first user's record. When a new encounter is detected, previousencounter identification data can be sent from the encounter database302 to the cloud-based network 202 via the server 204 such that theprevious encounter is accessible from the UE 102.

Referring now to FIG. 4, illustrated is an example schematic systemblock diagram of display screen 400 of the UE 102. In anotherembodiment, a camera on the display screen side of the UE 102 cancapture image data of someone that is using the UE 102 other than thetypical user (e.g., a second user). This image data can either suggestthat an encounter is taking place and/or an encounter can be determinedto have occurred based on the UE 102 being in proximity to the UE 106.Once the camera of the display screen 400 of the UE 102 is initiated tocapture the face of the second user, viewing data can be generated thatrepresents what media the second user is viewing and/or has been viewingon the UE 102. For example, if the second user was viewing a picturetaken, of the first user and the second user, two weeks ago, the picturecan be tagged with data representative of the second user having viewedthe picture on the date and time that the second user viewed the pictureon the UE 102. Additionally, image data captured by the camera on thedisplay screen side of the UE 102 can be cross-referenced with picturesthat are stored on the UE 102 and/or in the content database 206. Forexample, the image data can be cross-referenced with the picture takentwo weeks ago such that the system can recognize that the same person inthe picture from two weeks ago is currently viewing media on the UE 102.Thus, if there has already been a name/tag (e.g., Jenny/with Jenny,etc.) associated with the picture from two weeks ago, then the systemcan determine that Jenny (e.g., the second user) is actually viewingmedia on the UE 102. This data can then be stored in the encounterdatabase 302 for further use and/or analysis at a later time. Forexample, metadata can be used later to present a display to the firstuser of when the photo was previously shown to Jenny (e.g., the seconduser).

Referring now to FIG. 5 illustrated is an example schematic system blockdiagram of display screen 500 of the UE 106. An encounter can also be aninteraction between a first user and a second user that is notin-person. For instance, the first user can show a photo to the seconduser (e.g., from UE 102 to UE 106 during a screen sharing session, amultimedia call, and/or via a social media site). Encountercommunications can include in-person conversations, conversations overthe phone, texts, emails, etc. Thus, the server 204 can perform thelogic needed to deliver a service. For example, it can monitor oranalyze the first user's other communications (e.g., texts, emails,etc.) with second user for the purpose of using AI techniques to createdata that describes the relationship between the first user and thesecond user (e.g., friend, family, coworker, acquaintance, etc.). Forinstance, the server 204 can determine that the first user has shared animage via social media with the second user and facilitate storage ofthe remote encounter (e.g., time, location, platform shared to, etc.) atthe encounter database 302. Additionally, the photo and context for whythe photo was shared can be stored at the content database 206. Inanother embodiment, during a verbal conversation via the UE 102 and UE106, the AI assistant can listen for key words (e.g., a great seafoodrestaurant, “Shrimp Shack”) and the server 204 can search the contentdatabase 206 in real-time during the conversation and find a photo ofthe location using image analysis to detect the name of the restaurantin the image or via location metadata associated with the image. Thevirtual assistant may proactively announce that an image was found andfacilitate display of the image at a higher priority than other photoson the UEs 102, 106 and/or on the content database 206.

Referring now to FIG. 6, illustrated is an example flow diagram for amethod for facilitating accessibility of media found on mobile devicesfor a network according to one or more embodiments. At element 600, amethod comprising determining, by network equipment comprising aprocessor, that a distance between a first user equipment associatedwith a first user identity and a second user equipment associated with asecond user identity is less than a threshold distance. In response tothe determining, at element 602, the method can comprise sending, by thenetwork equipment to the first user equipment, request datarepresentative of a request to share media of the first user equipmentwith the second user equipment. Furthermore, in response to the sending,at element 604, the method can comprise receiving, by the networkequipment from the first user equipment, acceptance data representativeof an acceptance to share the media with the second user equipment.Additionally, at element 606, in response to the receiving and based ona relationship between the first user identity and the second useridentity, determining, by the network equipment, a sorting order toorder the media to be displayed by the second user equipment, whereinthe sorting comprises modifying a display order of the media to bedisplayed by the second user equipment.

Referring now to FIG. 7, illustrated is an example flow diagram for asystem for facilitating accessibility of media found on mobile devicesfor a network according to one or more embodiments. At element 700, asystem can facilitate, determining that a threshold distance between afirst mobile device associated with a first user identity and a secondmobile device associated with a second user identity has been satisfied.In response to the determining, at element 702, the system can comprisesending, to the first mobile device for an access via usage of firstcredentials associated with the first user identity, request datarepresentative of a request to share media of the first mobile devicevia usage of second credentials associated with the second useridentity. In response to the sending, at element 704, the system cancomprise receiving, from the first mobile device, acceptance datarepresentative of an acceptance to share the media via the usage of thesecond credentials associated with the second user identity.Furthermore, in response to the receiving, at element 706, the systemcan comprise facilitating sharing the media of the first mobile device,via the usage of the second credentials associated with the second useridentity, wherein the sharing comprises modifying an order of the media.

Referring now to FIG. 8, illustrated is an example flow diagram for amachine-readable medium for facilitating accessibility of media found onmobile devices for a network according to one or more embodiments. Atelement 800, the machine-readable medium can perform the operationscomprising determining that a threshold distance associated with amobile device has been satisfied. In response to the determining, atelement 802, the machine-readable medium can perform the operationscomprising sending request data representative of a request to sharemedia with the mobile device. In response to the sending, at element804, the machine-readable medium can perform the operations comprisingreceiving, from the mobile device, acceptance data representative of anacceptance to share the media with the mobile device. Additionally, atelement 806, based on the user identity of the mobile device, modifyingan order of the media for the access via the usage of the credentials.

Referring now to FIG. 9, illustrated is a schematic block diagram of anexemplary end-user device such as a mobile device 900 capable ofconnecting to a network in accordance with some embodiments describedherein. Although a mobile handset 900 is illustrated herein, it will beunderstood that other devices can be a mobile device, and that themobile handset 900 is merely illustrated to provide context for theembodiments of the various embodiments described herein. The followingdiscussion is intended to provide a brief, general description of anexample of a suitable environment 900 in which the various embodimentscan be implemented. While the description includes a general context ofcomputer-executable instructions embodied on a machine-readable medium,those skilled in the art will recognize that the innovation also can beimplemented in combination with other program modules and/or as acombination of hardware and software.

Generally, applications (e.g., program modules) can include routines,programs, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Moreover, thoseskilled in the art will appreciate that the methods described herein canbe practiced with other system configurations, includingsingle-processor or multiprocessor systems, minicomputers, mainframecomputers, as well as personal computers, hand-held computing devices,microprocessor-based or programmable consumer electronics, and the like,each of which can be operatively coupled to one or more associateddevices.

A computing device can typically include a variety of machine-readablemedia. Machine-readable media can be any available media that can beaccessed by the computer and includes both volatile and non-volatilemedia, removable and non-removable media. By way of example and notlimitation, computer-readable media can include computer storage mediaand communication media. Computer storage media can include volatileand/or non-volatile media, removable and/or non-removable mediaimplemented in any method or technology for storage of information, suchas computer-readable instructions, data structures, program modules orother data. Computer storage media can include, but is not limited to,RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM,digital video disk (DVD) or other optical disk storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, or any other medium which can be used to store thedesired information and which can be accessed by the computer.

Communication media typically embodies computer-readable instructions,data structures, program modules or other data in a modulated datasignal such as a carrier wave or other transport mechanism, and includesany information delivery media. The term “modulated data signal” means asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in the signal. By way of example,and not limitation, communication media includes wired media such as awired network or direct-wired connection, and wireless media such asacoustic, RF, infrared and other wireless media. Combinations of the anyof the above should also be included within the scope ofcomputer-readable media.

The handset 900 includes a processor 902 for controlling and processingall onboard operations and functions. A memory 904 interfaces to theprocessor 902 for storage of data and one or more applications 906(e.g., a video player software, user feedback component software, etc.).Other applications can include voice recognition of predetermined voicecommands that facilitate initiation of the user feedback signals. Theapplications 906 can be stored in the memory 904 and/or in a firmware908, and executed by the processor 902 from either or both the memory904 or/and the firmware 908. The firmware 908 can also store startupcode for execution in initializing the handset 900. A communicationscomponent 910 interfaces to the processor 902 to facilitatewired/wireless communication with external systems, e.g., cellularnetworks, VoIP networks, and so on. Here, the communications component910 can also include a suitable cellular transceiver 911 (e.g., a GSMtransceiver) and/or an unlicensed transceiver 913 (e.g., Wi-Fi, WiMax)for corresponding signal communications. The handset 900 can be a devicesuch as a cellular telephone, a PDA with mobile communicationscapabilities, and messaging-centric devices. The communicationscomponent 910 also facilitates communications reception from terrestrialradio networks (e.g., broadcast), digital satellite radio networks, andInternet-based radio services networks.

The handset 900 includes a display 912 for displaying text, images,video, telephony functions (e.g., a Caller ID function), setupfunctions, and for user input. For example, the display 912 can also bereferred to as a “screen” that can accommodate the presentation ofmultimedia content (e.g., music metadata, messages, wallpaper, graphics,etc.). The display 912 can also display videos and can facilitate thegeneration, editing and sharing of video quotes. A serial I/O interface914 is provided in communication with the processor 902 to facilitatewired and/or wireless serial communications (e.g., USB, and/or IEEE1394) through a hardwire connection, and other serial input devices(e.g., a keyboard, keypad, and mouse). This supports updating andtroubleshooting the handset 900, for example. Audio capabilities areprovided with an audio I/O component 916, which can include a speakerfor the output of audio signals related to, for example, indication thatthe user pressed the proper key or key combination to initiate the userfeedback signal. The audio I/O component 916 also facilitates the inputof audio signals through a microphone to record data and/or telephonyvoice data, and for inputting voice signals for telephone conversations.

The handset 900 can include a slot interface 918 for accommodating a SIC(Subscriber Identity Component) in the form factor of a card SubscriberIdentity Module (SIM) or universal SIM 920, and interfacing the SIM card920 with the processor 902. However, it is to be appreciated that theSIM card 920 can be manufactured into the handset 900, and updated bydownloading data and software.

The handset 900 can process IP data traffic through the communicationcomponent 910 to accommodate IP traffic from an IP network such as, forexample, the Internet, a corporate intranet, a home network, a personarea network, etc., through an ISP or broadband cable provider. Thus,VoIP traffic can be utilized by the handset 900 and IP-based multimediacontent can be received in either an encoded or decoded format.

A video processing component 922 (e.g., a camera) can be provided fordecoding encoded multimedia content. The video processing component 922can aid in facilitating the generation, editing and sharing of videoquotes. The handset 900 also includes a power source 924 in the form ofbatteries and/or an AC power subsystem, which power source 924 caninterface to an external power system or charging equipment (not shown)by a power I/O component 926.

The handset 900 can also include a video component 930 for processingvideo content received and, for recording and transmitting videocontent. For example, the video component 930 can facilitate thegeneration, editing and sharing of video quotes. A location trackingcomponent 932 facilitates geographically locating the handset 900. Asdescribed hereinabove, this can occur when the user initiates thefeedback signal automatically or manually. A user input component 934facilitates the user initiating the quality feedback signal. The userinput component 934 can also facilitate the generation, editing andsharing of video quotes. The user input component 934 can include suchconventional input device technologies such as a keypad, keyboard,mouse, stylus pen, and/or touch screen, for example.

Referring again to the applications 906, a hysteresis component 936facilitates the analysis and processing of hysteresis data, which isutilized to determine when to associate with the access point. Asoftware trigger component 938 can be provided that facilitatestriggering of the hysteresis component 938 when the Wi-Fi transceiver913 detects the beacon of the access point. A SIP client 940 enables thehandset 900 to support SIP protocols and register the subscriber withthe SIP registrar server. The applications 906 can also include a client942 that provides at least the capability of discovery, play and storeof multimedia content, for example, music.

The handset 900, as indicated above related to the communicationscomponent 910, includes an indoor network radio transceiver 913 (e.g.,Wi-Fi transceiver). This function supports the indoor radio link, suchas IEEE 802.11, for the dual-mode GSM handset 900. The handset 900 canaccommodate at least satellite radio services through a handset that cancombine wireless voice and digital radio chipsets into a single handhelddevice.

In order to provide additional context for various embodiments describedherein, FIG. 10 and the following discussion are intended to provide abrief, general description of a suitable computing environment 1000 inwhich the various embodiments of the embodiment described herein can beimplemented. While the embodiments have been described above in thegeneral context of computer-executable instructions that can run on oneor more computers, those skilled in the art will recognize that theembodiments can be also implemented in combination with other programmodules and/or as a combination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the disclosed methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, Internet of Things (IoT)devices, distributed computing systems, as well as personal computers,hand-held computing devices, microprocessor-based or programmableconsumer electronics, and the like, each of which can be operativelycoupled to one or more associated devices.

The illustrated embodiments of the embodiments herein can be alsopracticed in distributed computing environments where certain tasks areperformed by remote processing devices that are linked through acommunications network. In a distributed computing environment, programmodules can be located in both local and remote memory storage devices.

Computing devices typically include a variety of media, which caninclude computer-readable media, machine-readable media, and/orcommunications media, which two terms are used herein differently fromone another as follows. Computer-readable media or machine-readablemedia can be any available media that can be accessed by the computerand includes both volatile and nonvolatile media, removable andnon-removable media. By way of example, and not limitation,computer-readable media or machine-readable media can be implemented inconnection with any method or technology for storage of information suchas computer-readable or machine-readable instructions, program modules,structured data or unstructured data.

Computer-readable storage media can include, but are not limited to,random access memory (RAM), read only memory (ROM), electricallyerasable programmable read only memory (EEPROM), flash memory or othermemory technology, compact disk read only memory (CD-ROM), digitalversatile disk (DVD), Blu-ray disc (BD) or other optical disk storage,magnetic cassettes, magnetic tape, magnetic disk storage or othermagnetic storage devices, solid state drives or other solid statestorage devices, or other tangible and/or non-transitory media which canbe used to store desired information. In this regard, the terms“tangible” or “non-transitory” herein as applied to storage, memory orcomputer-readable media, are to be understood to exclude onlypropagating transitory signals per se as modifiers and do not relinquishrights to all standard storage, memory or computer-readable media thatare not only propagating transitory signals per se.

Computer-readable storage media can be accessed by one or more local orremote computing devices, e.g., via access requests, queries or otherdata retrieval protocols, for a variety of operations with respect tothe information stored by the medium.

Communications media typically embody computer-readable instructions,data structures, program modules or other structured or unstructureddata in a data signal such as a modulated data signal, e.g., a carrierwave or other transport mechanism, and includes any information deliveryor transport media. The term “modulated data signal” or signals refersto a signal that has one or more of its characteristics set or changedin such a manner as to encode information in one or more signals. By wayof example, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

With reference again to FIG. 10, the example environment 1000 forimplementing various embodiments of the aspects described hereinincludes a computer 1002, the computer 1002 including a processing unit1004, a system memory 1006 and a system bus 1008. The system bus 1008couples system components including, but not limited to, the systemmemory 1006 to the processing unit 1004. The processing unit 1004 can beany of various commercially available processors. Dual microprocessorsand other multi-processor architectures can also be employed as theprocessing unit 1004.

The system bus 1008 can be any of several types of bus structure thatcan further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 1006includes ROM 1010 and RAM 1012. A basic input/output system (BIOS) canbe stored in a non-volatile memory such as ROM, erasable programmableread only memory (EPROM), EEPROM, which BIOS contains the basic routinesthat help to transfer information between elements within the computer1002, such as during startup. The RAM 1012 can also include a high-speedRAM such as static RAM for caching data.

The computer 1002 further includes an internal hard disk drive (HDD)1014 (e.g., EIDE, SATA), one or more external storage devices 1016(e.g., a magnetic floppy disk drive (FDD) 1016, a memory stick or flashdrive reader, a memory card reader, etc.) and an optical disk drive 1020(e.g., which can read or write from a CD-ROM disc, a DVD, a BD, etc.).While the internal HDD 1014 is illustrated as located within thecomputer 1002, the internal HDD 1014 can also be configured for externaluse in a suitable chassis (not shown). Additionally, while not shown inenvironment 1000, a solid state drive (SSD) could be used in additionto, or in place of, an HDD 1014. The HDD 1014, external storagedevice(s) 1016 and optical disk drive 1020 can be connected to thesystem bus 1008 by an HDD interface 1024, an external storage interface1026 and an optical drive interface 1028, respectively. The interface1024 for external drive implementations can include at least one or bothof Universal Serial Bus (USB) and Institute of Electrical andElectronics Engineers (IEEE) 1394 interface technologies. Other externaldrive connection technologies are within contemplation of theembodiments described herein.

The drives and their associated computer-readable storage media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 1002, the drives andstorage media accommodate the storage of any data in a suitable digitalformat. Although the description of computer-readable storage mediaabove refers to respective types of storage devices, it should beappreciated by those skilled in the art that other types of storagemedia which are readable by a computer, whether presently existing ordeveloped in the future, could also be used in the example operatingenvironment, and further, that any such storage media can containcomputer-executable instructions for performing the methods describedherein.

A number of program modules can be stored in the drives and RAM 1012,including an operating system 1030, one or more application programs1032, other program modules 1034 and program data 1036. All or portionsof the operating system, applications, modules, and/or data can also becached in the RAM 1012. The systems and methods described herein can beimplemented utilizing various commercially available operating systemsor combinations of operating systems.

Computer 1002 can optionally include emulation technologies. Forexample, a hypervisor (not shown) or other intermediary can emulate ahardware environment for operating system 1030, and the emulatedhardware can optionally be different from the hardware illustrated inFIG. 10. In such an embodiment, operating system 1030 can include onevirtual machine (VM) of multiple VMs hosted at computer 1002.Furthermore, operating system 1030 can provide runtime environments,such as the Java runtime environment or the .NET framework, forapplications 1032. Runtime environments are consistent executionenvironments that allow applications 1032 to run on any operating systemthat includes the runtime environment. Similarly, operating system 1030can support containers, and applications 1032 can be in the form ofcontainers, which are lightweight, standalone, executable packages ofsoftware that include, e.g., code, runtime, system tools, systemlibraries and settings for an application.

Further, computer 1002 can be enable with a security module, such as atrusted processing module (TPM). For instance with a TPM, bootcomponents hash next in time boot components, and wait for a match ofresults to secured values, before loading a next boot component. Thisprocess can take place at any layer in the code execution stack ofcomputer 1002, e.g., applied at the application execution level or atthe operating system (OS) kernel level, thereby enabling security at anylevel of code execution.

A user can enter commands and information into the computer 1002 throughone or more wired/wireless input devices, e.g., a keyboard 1038, a touchscreen 1040, and a pointing device, such as a mouse 1042. Other inputdevices (not shown) can include a microphone, an infrared (IR) remotecontrol, a radio frequency (RF) remote control, or other remote control,a joystick, a virtual reality controller and/or virtual reality headset,a game pad, a stylus pen, an image input device, e.g., camera(s), agesture sensor input device, a vision movement sensor input device, anemotion or facial detection device, a biometric input device, e.g.,fingerprint or iris scanner, or the like. These and other input devicesare often connected to the processing unit 1004 through an input deviceinterface 1044 that can be coupled to the system bus 1008, but can beconnected by other interfaces, such as a parallel port, an IEEE 1394serial port, a game port, a USB port, an IR interface, a BLUETOOTH®interface, etc.

A monitor 1046 or other type of display device can be also connected tothe system bus 1008 via an interface, such as a video adapter 1048. Inaddition to the monitor 1046, a computer typically includes otherperipheral output devices (not shown), such as speakers, printers, etc.

The computer 1002 can operate in a networked environment using logicalconnections via wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 1050. The remotecomputer(s) 1050 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentappliance, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computer1002, although, for purposes of brevity, only a memory/storage device1052 is illustrated. The logical connections depicted includewired/wireless connectivity to a local area network (LAN) 1054 and/orlarger networks, e.g., a wide area network (WAN) 1056. Such LAN and WANnetworking environments are commonplace in offices and companies, andfacilitate enterprise-wide computer networks, such as intranets, all ofwhich can connect to a global communications network, e.g., theInternet.

When used in a LAN networking environment, the computer 1002 can beconnected to the local network 1054 through a wired and/or wirelesscommunication network interface or adapter 1058. The adapter 1058 canfacilitate wired or wireless communication to the LAN 1054, which canalso include a wireless access point (AP) disposed thereon forcommunicating with the adapter 1058 in a wireless mode.

When used in a WAN networking environment, the computer 1002 can includea modem 1060 or can be connected to a communications server on the WAN1056 via other means for establishing communications over the WAN 1056,such as by way of the Internet. The modem 1060, which can be internal orexternal and a wired or wireless device, can be connected to the systembus 1008 via the input device interface 1044. In a networkedenvironment, program modules depicted relative to the computer 1002 orportions thereof, can be stored in the remote memory/storage device1052. It will be appreciated that the network connections shown areexample and other means of establishing a communications link betweenthe computers can be used.

When used in either a LAN or WAN networking environment, the computer1002 can access cloud storage systems or other network-based storagesystems in addition to, or in place of, external storage devices 1016 asdescribed above. Generally, a connection between the computer 1002 and acloud storage system can be established over a LAN 1054 or WAN 1056e.g., by the adapter 1058 or modem 1060, respectively. Upon connectingthe computer 1002 to an associated cloud storage system, the externalstorage interface 1026 can, with the aid of the adapter 1058 and/ormodem 1060, manage storage provided by the cloud storage system as itwould other types of external storage. For instance, the externalstorage interface 1026 can be configured to provide access to cloudstorage sources as if those sources were physically connected to thecomputer 1002.

The computer 1002 can be operable to communicate with any wirelessdevices or entities operatively disposed in wireless communication,e.g., a printer, scanner, desktop and/or portable computer, portabledata assistant, communications satellite, any piece of equipment orlocation associated with a wirelessly detectable tag (e.g., a kiosk,news stand, store shelf, etc.), and telephone. This can include WirelessFidelity (Wi-Fi) and BLUETOOTH® wireless technologies. Thus, thecommunication can be a predefined structure as with a conventionalnetwork or simply an ad hoc communication between at least two devices.

The computer is operable to communicate with any wireless devices orentities operatively disposed in wireless communication, e.g., aprinter, scanner, desktop and/or portable computer, portable dataassistant, communications satellite, any piece of equipment or locationassociated with a wirelessly detectable tag (e.g., a kiosk, news stand,restroom), and telephone. This includes at least Wi-Fi and Bluetooth™wireless technologies. Thus, the communication can be a predefinedstructure as with a conventional network or simply an ad hoccommunication between at least two devices.

Wi-Fi, or Wireless Fidelity, allows connection to the Internet from acouch at home, a bed in a hotel room, or a conference room at work,without wires. Wi-Fi is a wireless technology similar to that used in acell phone that enables such devices, e.g., computers, to send andreceive data indoors and out; anywhere within the range of a basestation. Wi-Fi networks use radio technologies called IEEE 802.11 (a, b,g, etc.) to provide secure, reliable, fast wireless connectivity. AWi-Fi network can be used to connect computers to each other, to theInternet, and to wired networks (which use IEEE 802.3 or Ethernet).Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands, atan 11 Mbps (802.11a) or 54 Mbps (802.11b) data rate, for example, orwith products that contain both bands (dual band), so the networks canprovide real-world performance similar to the basic 10BaseT wiredEthernet networks used in many offices.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the subject matter has been described herein inconnection with various embodiments and corresponding FIGs, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

What is claimed is:
 1. A method, comprising: determining, by networkequipment comprising a processor, that a distance between a first userequipment, associated with a first user identity and a second userequipment associated with a second user identity, is less than athreshold distance; in response to the determining, sending, by thenetwork equipment to the first user equipment, request datarepresentative of a request to share media of the first user equipmentwith the second user equipment; in response to the sending, receiving,by the network equipment from the first user equipment, acceptance datarepresentative of an acceptance to share the media with the second userequipment; and in response to the receiving and based on a relationshipbetween the first user identity and the second user identity,determining, by the network equipment, a sorting order to order themedia to be displayed by the second user equipment, wherein thedetermining of the sorting order comprises modifying a display order ofthe media to be displayed by the second user equipment.
 2. The method ofclaim 1, further comprising: based on the determining of the sortingorder, facilitating, by the network equipment, ordering of the media tobe displayed by the second user equipment.
 3. The method of claim 2,further comprising: in response to the receiving, facilitating, by thenetwork equipment, sending the media associated with the first userequipment to be displayed by the second user equipment.
 4. The method ofclaim 3, further comprising: in response to the receiving, facilitating,by the network equipment, recording of environment data representativeof an environment associated with the first user equipment.
 5. Themethod of claim 4, wherein the environment data comprises at least oneof a specified date, a specified time, or a specified duration.
 6. Themethod of claim 2, wherein the ordering is performed by the second userequipment.
 7. The method of claim 1, further comprising: in response toa condition associated with facial recognition being determined to havebeen satisfied, facilitating, by the network equipment, displaying ofthe media associated with the first user equipment, via a display screenof the first user equipment, to the second user identity.
 8. The methodof claim 1, further comprising: determining, by the network equipment,respective priority values of respective media of the media, wherein thedetermining of the sorting order comprises determining the sorting orderbased on the respective priority values.
 9. The method of claim 8,wherein the determining of the respective priority values comprisesdetermining that media previously displayed at the second user equipmenthas a lower priority value than other media not previously displayed atthe second user equipment.
 10. Network equipment, comprising: aprocessor; and a memory that stores executable instructions that, whenexecuted by the processor, facilitate performance of operations,comprising: based on a distance between a first user equipment and asecond user equipment being determined to satisfy a defined distance,receiving, from the first user equipment, acceptance data indicative ofacceptance to share a group of media of the first user equipment withthe second user equipment, wherein the first user equipment isassociated with a first user identity, wherein the second user equipmentis associated with a second user identity, and wherein the receiving isin response to a request to share the group of media of the first userequipment with the second user equipment; and based on a relationshipbeing determined between the first user identity and the second useridentity, establishing a sorting order for media of the group of mediato be displayed on the second user equipment, wherein the establishingcomprises modifying a display order of the media of the group of mediato be displayed on the second user equipment.
 11. The network equipmentof claim 10, wherein the establishing of the sorting order comprisesfacilitating a rendering of the media of the group of media at thesecond user equipment based on the sorting order.
 12. The networkequipment of claim 10, wherein the operations further comprise: based ona facial recognition condition being satisfied, displaying to the seconduser identity, via a display screen of the first user equipment, thegroup of media associated with the first user equipment.
 13. The networkequipment of claim 10, wherein the operations further comprise:retaining encounter identification data representative of an encounterassociated with the first user identity.
 14. The network equipment ofclaim 13, wherein the retaining comprises retaining the encounteridentification data as metadata of the group of media.
 15. The networkequipment of claim 10, wherein the operations further comprise:determining respective priority values of the media of the group ofmedia, wherein the determining of the sorting order comprisesdetermining the sorting order based on the respective priority values.16. The network equipment of claim 15, wherein the determining of therespective priority values comprises determining that media of the groupof media previously displayed at the second user equipment has a lowerpriority value than other media of the group of media not previouslydisplayed at the second user equipment.
 17. A non-transitorymachine-readable medium, comprising executable instructions that, whenexecuted by a processor, facilitate performance of operations,comprising: based on a first determination that a distance between afirst user equipment and a second user equipment satisfies a defineddistance and in response to a request to share media of the first userequipment with the second user equipment, receiving, from the first userequipment, acceptance data indicative of acceptance to share the mediaof the first user equipment with the second user equipment, wherein thefirst user equipment is associated with a first user identity, andwherein the second user equipment is associated with a second useridentity; and based on a second determination that a relationship existsbetween the first user identity and the second user identity,establishing a sorting order for the media to be displayed on the seconduser equipment, wherein the establishing comprises modifying a displayorder of the media to be displayed on the second user equipment.
 18. Thenon-transitory machine-readable medium of claim 17, wherein theoperations further comprise: based on a facial recognition conditionbeing satisfied, displaying to the second user identity, via a displayscreen of the first user equipment, the media associated with the firstuser equipment.
 19. The non-transitory machine-readable medium of claim17, wherein the operations further comprise: determining respectivepriority values of respective media of the media, wherein thedetermining of the sorting order comprises determining the sorting orderbased on the respective priority values.
 20. The non-transitorymachine-readable medium of claim 19, wherein the determining of therespective priority values comprises determining that media previouslydisplayed at the second user equipment has a lower priority value thanother media not previously displayed at the second user equipment.